SSME parameter estimation using radial basis function neural networks

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) ◽

10.1109/icnn.1994.374774 ◽

2002 ◽

Author(s):

K.R. Wheeler ◽

A.P. Dhawan

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Radial Basis Function ◽

Basis Function ◽

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Parameter Estimation of Solid Cylindrical Electromagnetic Actuator Using Radial Basis Function Neural Networks

Lecture Notes in Electrical Engineering - Microelectronics, Electromagnetics and Telecommunications ◽

10.1007/978-81-322-2728-1_31 ◽

2015 ◽

pp. 349-363 ◽

Author(s):

V. V. Kondaiah ◽

Jagu S. Rao ◽

V. V. Subba Rao

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Radial Basis Function ◽

Basis Function ◽

Electromagnetic Actuator ◽

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Radial Basis Function and Multilayer Perceptron neural networks for sea water optically active parameter estimation in case II waters: A comparison

International Journal of Remote Sensing ◽

10.1080/0143116031000103781 ◽

2003 ◽

Vol 24 (20) ◽

pp. 3917-3931 ◽

Author(s):

G. Corsini ◽

M. Diani ◽

R. Grasso ◽

M. De Martino ◽

P. Mantero ◽

...

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Sea Water ◽

Optically Active ◽

Case Ii Waters ◽

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Distribution Feeder Parameter Estimation without Synchronized Phasor Measurement by using Radial Basis Function Neural Networks and Multi-run Optimization Method

IEEE Access ◽

10.1109/access.2021.3140123 ◽

2022 ◽

pp. 1-1

Author(s):

Nien-Che Yang ◽

Rui Huang ◽

Mou-Fa Guo

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Radial Basis Function ◽

Basis Function ◽

Optimization Method ◽

Phasor Measurement ◽

Radial Basis ◽

Distribution Feeder ◽

Synchronized Phasor Measurement

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Three‐phase feeder parameter estimation using radial basis function neural networks and multi‐run optimisation method with bad data preparation

IET Generation Transmission & Distribution ◽

10.1049/gtd2.12310 ◽

2021 ◽

Author(s):

Nien‐Che Yang ◽

Rui Huang ◽

Mou‐Fa Guo

Keyword(s):

Neural Networks ◽

Parameter Estimation ◽

Radial Basis Function ◽

Basis Function ◽

Data Preparation ◽

Three Phase ◽

Radial Basis ◽

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Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks

Neural Processing Letters ◽

10.1007/s11063-020-10410-9 ◽

2021 ◽

Author(s):

Guo Luo ◽

Zhi Yang ◽

Choujun Zhan ◽

Qizhi Zhang

Keyword(s):

Dynamical System ◽

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Nonlinear Dynamical System ◽

Nonlinear Dynamical ◽

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New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.145534 ◽

2021 ◽

Vol 772 ◽

pp. 145534 ◽

Author(s):

Ying Deng ◽

Xiaoling Zhou ◽

Jiao Shen ◽

Ge Xiao ◽

Huachang Hong ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Tap Water ◽

Back Propagation ◽

New Methods ◽

Radial Basis ◽

Artificial Neural

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A Comparison Study on Shape Parameter Selection in Pattern Recognition by Radial Basis Function Neural Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1921/1/012124 ◽

2021 ◽

Vol 1921 ◽

pp. 012124

Author(s):

S Tavaen ◽

S Kaennakham

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Shape Parameter ◽

Parameter Selection ◽

Comparison Study ◽

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Wind turbine power curve modeling using radial basis function neural networks and tabu search

Renewable Energy ◽

10.1016/j.renene.2020.10.020 ◽

2021 ◽

Vol 163 ◽

pp. 2137-2152

Author(s):

Despina Karamichailidou ◽

Vasiliki Kaloutsa ◽

Alex Alexandridis

Keyword(s):

Neural Networks ◽

Tabu Search ◽

Radial Basis Function ◽

Wind Turbine ◽

Basis Function ◽

Power Curve ◽

Radial Basis ◽

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Accurate fault locator for EHV transmission lines based on radial basis function neural networks

Electric Power Systems Research ◽

10.1016/j.epsr.2004.02.002 ◽

2004 ◽

Vol 71 (3) ◽

pp. 195-202 ◽

Author(s):

M. Joorabian ◽

S.M.A. Taleghani Asl ◽

R.K. Aggarwal

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Transmission Lines ◽

Basis Function ◽

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Modeling and prediction of viscosity of water-based nanofluids by radial basis function neural networks

Powder Technology ◽

10.1016/j.powtec.2015.04.058 ◽

2015 ◽

Vol 281 ◽

pp. 173-183 ◽

Author(s):

Ningbo Zhao ◽

Xueyou Wen ◽

Jialong Yang ◽

Shuying Li ◽

Zhitao Wang

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Modeling And Prediction ◽

Water Based ◽

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